Shared intelligence for telerobots with time delay: Theory and human interface with local intelligence

Praveen Bhatia, Masaru Uchiyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    In order to be able to achieve intelligent action at a remote place with or without time-delay, it has been recently realized that the human operator has difficulty in interpreting input information (from TV cameras, virtual reality and force reflection system) and hence his performance in teleoperation decision making is clumsy. In complex environments, where every point on the slave robot is subject to a potential collision, this problem becomes even more pronounced. Thus, the burden on the operator must be decreased from active control in situations where different parts of the robot body are simultaneously interacting with the obstacles. This paper describes our research in shared intelligence for incorporating local and remote intelligence for path planning and obstacle avoidance to help the operator in improving his performance and also to enable the intelligence units to take over when the operator fails to maneuver fine controls of the remote manipulator.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
    PublisherPubl by IEEE
    Pages1441-1448
    Number of pages8
    Editionpt 2
    ISBN (Print)0818653329
    Publication statusPublished - 1994 Jan 1
    EventProceedings of the 1994 IEEE International Conference on Robotics and Automation - San Diego, CA, USA
    Duration: 1994 May 81994 May 13

    Publication series

    NameProceedings - IEEE International Conference on Robotics and Automation
    Numberpt 2
    ISSN (Print)1050-4729

    Other

    OtherProceedings of the 1994 IEEE International Conference on Robotics and Automation
    CitySan Diego, CA, USA
    Period94/5/894/5/13

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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